Automated plaque classification using computed tomography angiography and Gabor transformations

•Automated classification of calcified plaque using CTA images.•Gabor transform features are extracted.•No feature reduction method coupled with PNN classifier yielded an accuracy of 89.09%. Cardiovascular diseases are the primary cause of death globally. These are often associated with atherosclero...

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Veröffentlicht in:	Artificial intelligence in medicine 2019-09, Vol.100, p.101724-101724, Article 101724
Hauptverfasser:	Rajendra Acharya, U., Meiburger, Kristen M., Wei Koh, Joel En, Vicnesh, Jahmunah, Ciaccio, Edward J., Shu Lih, Oh, Tan, Sock Keow, Aman, Raja Rizal Azman Raja, Molinari, Filippo, Ng, Kwan Hoong
Format:	Artikel
Sprache:	eng
Schlagworte:	Automated classification Computed tomography angiography Deep learning Gabor transformation Image processing Machine learning
Online-Zugang:	Volltext
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